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Predictors for local invasive recurrence of ductal carcinoma in situ of the breast: a meta-analysis

The introduction of mammographic screening has considerably increased the detection rate of ductal carcinoma in situ (DCIS), which has a high probability of recurrence. We carried out a meta-analysis to evaluate the predictive factors including biomarkers, tumor characteristics, and modes of detecti...

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Autores principales: Zhang, Xining, Dai, Hongji, Liu, Ben, Song, Fengju, Chen, Kexin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4885540/
https://www.ncbi.nlm.nih.gov/pubmed/25714649
http://dx.doi.org/10.1097/CEJ.0000000000000131
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author Zhang, Xining
Dai, Hongji
Liu, Ben
Song, Fengju
Chen, Kexin
author_facet Zhang, Xining
Dai, Hongji
Liu, Ben
Song, Fengju
Chen, Kexin
author_sort Zhang, Xining
collection PubMed
description The introduction of mammographic screening has considerably increased the detection rate of ductal carcinoma in situ (DCIS), which has a high probability of recurrence. We carried out a meta-analysis to evaluate the predictive factors including biomarkers, tumor characteristics, and modes of detection on the risk of local invasive recurrence (LIR) following DCIS. Searches were performed in PubMed and EMBASE up to 8 July 2014. Risk estimates (hazard ratios, odds ratios, and relative risks) and their 95% confidence intervals (CIs) were extracted to calculate the strength of the associations between predictive factors and the risk of LIR after treatment of DCIS. STATA 12.0 was used to combine results in this meta-analysis. A total of 18 articles were included in the analysis. Pooled risk estimates and 95% CIs were 1.36 (1.04–1.69) for the positive margin, 1.38 (1.12–1.63) for the nonscreening detection method, 1.04 (0.84–1.24) for high nuclear grade 1, 1.32 (0.98–1.66) for intermediate nuclear grade 2, 1.18 (0.98–1.37) for comedonecrosis, 1.00 (0.92–1.08) for large tumor size, 1.34 (0.82–1.87) for multifocality, 0.74 (0.36–1.12) for estrogen receptor-positive tumors, 0.89 (0.47–1.31) for progesterone receptor-positive tumors, and 1.25 (0.7–1.81) for HER2/neu-positive tumors. Positive margin and non-screening-detected cancers were associated with a higher risk of LIR following DCIS. These predictive factors, after further validation, could be considered to tailor treatment for individual patients.
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spelling pubmed-48855402016-06-15 Predictors for local invasive recurrence of ductal carcinoma in situ of the breast: a meta-analysis Zhang, Xining Dai, Hongji Liu, Ben Song, Fengju Chen, Kexin Eur J Cancer Prev Research Papers: Breast Cancer The introduction of mammographic screening has considerably increased the detection rate of ductal carcinoma in situ (DCIS), which has a high probability of recurrence. We carried out a meta-analysis to evaluate the predictive factors including biomarkers, tumor characteristics, and modes of detection on the risk of local invasive recurrence (LIR) following DCIS. Searches were performed in PubMed and EMBASE up to 8 July 2014. Risk estimates (hazard ratios, odds ratios, and relative risks) and their 95% confidence intervals (CIs) were extracted to calculate the strength of the associations between predictive factors and the risk of LIR after treatment of DCIS. STATA 12.0 was used to combine results in this meta-analysis. A total of 18 articles were included in the analysis. Pooled risk estimates and 95% CIs were 1.36 (1.04–1.69) for the positive margin, 1.38 (1.12–1.63) for the nonscreening detection method, 1.04 (0.84–1.24) for high nuclear grade 1, 1.32 (0.98–1.66) for intermediate nuclear grade 2, 1.18 (0.98–1.37) for comedonecrosis, 1.00 (0.92–1.08) for large tumor size, 1.34 (0.82–1.87) for multifocality, 0.74 (0.36–1.12) for estrogen receptor-positive tumors, 0.89 (0.47–1.31) for progesterone receptor-positive tumors, and 1.25 (0.7–1.81) for HER2/neu-positive tumors. Positive margin and non-screening-detected cancers were associated with a higher risk of LIR following DCIS. These predictive factors, after further validation, could be considered to tailor treatment for individual patients. Lippincott Williams & Wilkins 2016-01 2015-12-02 /pmc/articles/PMC4885540/ /pubmed/25714649 http://dx.doi.org/10.1097/CEJ.0000000000000131 Text en Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.
spellingShingle Research Papers: Breast Cancer
Zhang, Xining
Dai, Hongji
Liu, Ben
Song, Fengju
Chen, Kexin
Predictors for local invasive recurrence of ductal carcinoma in situ of the breast: a meta-analysis
title Predictors for local invasive recurrence of ductal carcinoma in situ of the breast: a meta-analysis
title_full Predictors for local invasive recurrence of ductal carcinoma in situ of the breast: a meta-analysis
title_fullStr Predictors for local invasive recurrence of ductal carcinoma in situ of the breast: a meta-analysis
title_full_unstemmed Predictors for local invasive recurrence of ductal carcinoma in situ of the breast: a meta-analysis
title_short Predictors for local invasive recurrence of ductal carcinoma in situ of the breast: a meta-analysis
title_sort predictors for local invasive recurrence of ductal carcinoma in situ of the breast: a meta-analysis
topic Research Papers: Breast Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4885540/
https://www.ncbi.nlm.nih.gov/pubmed/25714649
http://dx.doi.org/10.1097/CEJ.0000000000000131
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